The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing Parliament Hill – Colline du Parlement Ottawa – St.-Lawrence Seaway Ontario – Rideau Canal National Gallery of Canada-Ottawa

CCGrid Doctoral Symposium 2012

The Doctoral Symposium of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) provides a forum for students in the areas of scalable Clusters, widely distributed Grids and emerging Clouds to obtain feedback and advice on their Ph.D. dissertation topics and research career. The specific goals of the Symposium are to provide advice to students for a successful thesis completion, to enable students to evaluate their research in the context of global trends, and to engender fruitful interactions and networking between student researchers at a similar stage in their careers.

Selected students will present their work in front of an audience that consists of both their peers and a committee of expert researchers. The program committee consists of experts in the field, which provide their valuable feedback to the ongoing research work of participating students. They will also have the option to display their work as a poster.

Topic Areas

The symposium is open to all Ph.D. students carrying out research on topics related to the CCGrid symposium interest areas. Example topics of interest include, but are not limited to:

  • Architectures, Systems and Designs for cluster, Grid and Cloud computing
  • Scalability issues in Grid and Cloud computing environments
  • Middleware for scalable distributed and cluster computing
  • Scheduling, load balancing and Resource management paradigms
  • Programming Models, Tools, Problem Solving Environments and Applications
  • Fault-Tolerant and reliable Computing
  • Trust, Security and Data Privacy on public and hybrid clouds
  • Service-Oriented Cyberinfrastructure, including discovery, composition and orchestration
  • Multicore, Accelerator-based and Heterogeneous Computing
  • Autonomic and Nature inspired Computing
  • Abstractions and Models for Dynamic, distributed and data intensive applications
  • Community and collaborative computing networks
  • High-performance networking
  • Economic and Utility computing models for clusters, Grids and Clouds

Important Dates

Submission Deadline: January 15th, 2012 January 29th, 2012 (Closed)

Notification of acceptance: February 13th, 2012

Camera-ready submission: March 9th, 2012


Each submission needs to have a Ph.D. student as the sole author or as the primary author with his/her thesis advisor(s) as co-authors. Students must be officially enrolled in a Ph.D. Program at the time of submission. It is expected that they would have one to two years left in their candidature so that they have enough time to incorporate the suggestions made at the Symposium.

The submission should contain the following points:

  • An introduction with the specific research proposal that describes the problem that the thesis aims to address
  • The significance of the work and its relevance to the CCGrid symposium topic areas
  • Related work and their shortcomings that the candidate's research aims to address
  • Explanation of the proposed approach and the research methodology adopted
  • The results obtained so far, remaining objectives and the challenges expected to be tackled
  • Expected contributions of the research and the novelty and benefits of the suggested solutions

The submissions will be limited to between 4 - 6 pages of double column text, using single spaced 10 point size type on Letter (8.5"x11"), following the IEEE Computer Society proceedings guidelines. The proceedings of the doctoral symposium will be published as part of the CCGrid 2012 proceedings, as well as in the IEEE Digital Library.

Submissions should be made electronically via the online submission site:

Accepted Papers

  • José Simão and Luís Veiga. VM Economics for Java Cloud Computing - An Adaptive and Resource-Aware Java Runtime with Quality-of-Execution
  • Sharrukh Zaman and Daniel Grosu. Combinatorial Auction-Based Mechanisms for VM Provisioning and Allocation in Clouds
  • Teng Ma. Kernel-assisted MPI Collective Communication among Many-core Clusters
  • Li Yu and Douglas Thain. Resource Management for Elastic Cloud Workflows
  • Wesley Bland. Enabling Application Resilience With and Without the MPI Standard
  • Wenbo Zhu and Murray Woodside. Optimistic Scheduling with Geographically Replicated Services in the Cloud Environment
  • Rizwan Mian and Patrick Martin. Executing data-intensive workloads in a Cloud
  • Weiwei Chen and Ewa Deelman. Integration of Workflow Partitioning and Resource Provisioning
  • Yuan Luo and Beth Plale. Hierarchical MapReduce Programming Model and Scheduling Algorithms
  • Marina Zapater, Jose L. Ayala and Jose M. Moya. Leveraging Heterogeneity for Energy Minimization in Data Centers


Carlos Varela, Rensselaer Polytechnic Institute, USA (

Yogesh Simmhan, University of Southern California, USA (

Carleton University, Canada
Indiana University, USA
The University of Melbourne, Australia